{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7a1378eb",
   "metadata": {},
   "source": [
    "### 1.获取access_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "376be200",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.232a78c8cc363221aedbf6e41dbc06d4.315360000.1969280743.282335-25863376', 'expires_in': 2592000, 'session_key': '9mzdA8+SeJ4ZsWqAa+4N3KsO14VvJjWigmquRxDnk7xI16fnvw07H74dbwKGmvDPg33SYkMP6EsICLZRpjHdsepAi1KTNg==', 'access_token': '24.8ebf5936494099960d11f9a25629ea21.2592000.1656512743.282335-25863376', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx', 'session_secret': '9c7c2562b0c9cf3097fdcd23a4a288d8'}\n"
     ]
    }
   ],
   "source": [
    "import requests \n",
    "host = \"https://aip.baidubce.com/oauth/2.0/token\"\n",
    "payload = {\n",
    "    \"grant_type\":\"client_credentials\",\n",
    "    \"client_id\":\"BZNftuKFBvGPVxfrU94xwMG3\",\n",
    "    \"client_secret\":\"Z0bP3Ss2sSAFihGjoGxVDBymvH8xp2TR\"\n",
    "}\n",
    "response = requests.get(host,params=payload)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4b74ecee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'refresh_token': '25.232a78c8cc363221aedbf6e41dbc06d4.315360000.1969280743.282335-25863376',\n",
       " 'expires_in': 2592000,\n",
       " 'session_key': '9mzdA8+SeJ4ZsWqAa+4N3KsO14VvJjWigmquRxDnk7xI16fnvw07H74dbwKGmvDPg33SYkMP6EsICLZRpjHdsepAi1KTNg==',\n",
       " 'access_token': '24.8ebf5936494099960d11f9a25629ea21.2592000.1656512743.282335-25863376',\n",
       " 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx',\n",
       " 'session_secret': '9c7c2562b0c9cf3097fdcd23a4a288d8'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "777a16f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.8ebf5936494099960d11f9a25629ea21.2592000.1656512743.282335-25863376'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shena_AT = response.json()[\"access_token\"]\n",
    "shena_AT"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eac60b6d",
   "metadata": {},
   "source": [
    "### 2.语音识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "38654742",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"refresh_token\":\"25.f0114f7f7c56c4eea9c9845a1a03a5ee.315360000.1967512546.282335-25345319\",\"expires_in\":2592000,\"session_key\":\"9mzdXqbEy4ZyPkuMQhp8u6O1OZR4SRzM5uA3CFIhjzhZeb7avMN7wt9Q\\/cdLD6CpPRcDUQucoNf2k21r4GvEw7hhzI3C2A==\",\"access_token\":\"24.ec8f6d0d5d29134b33ed67c2e8df9723.2592000.1654744546.282335-25345319\",\"scope\":\"audio_voice_assistant_get brain_enhanced_asr audio_tts_post brain_speech_realtime public brain_all_scope brain_asr_async wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test\\u6743\\u9650 vis-classify_flower lpq_\\u5f00\\u653e cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_\\u5f00\\u653eScope vis-ocr_\\u865a\\u62df\\u4eba\\u7269\\u52a9\\u7406 idl-video_\\u865a\\u62df\\u4eba\\u7269\\u52a9\\u7406 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx\",\"session_secret\":\"bc45ed851db8269204f03550cf39bac4\"}\n",
      "\n",
      "{'refresh_token': '25.f0114f7f7c56c4eea9c9845a1a03a5ee.315360000.1967512546.282335-25345319', 'expires_in': 2592000, 'session_key': '9mzdXqbEy4ZyPkuMQhp8u6O1OZR4SRzM5uA3CFIhjzhZeb7avMN7wt9Q/cdLD6CpPRcDUQucoNf2k21r4GvEw7hhzI3C2A==', 'access_token': '24.ec8f6d0d5d29134b33ed67c2e8df9723.2592000.1654744546.282335-25345319', 'scope': 'audio_voice_assistant_get brain_enhanced_asr audio_tts_post brain_speech_realtime public brain_all_scope brain_asr_async wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx', 'session_secret': 'bc45ed851db8269204f03550cf39bac4'}\n",
      "audio_voice_assistant_get\n",
      "SUCCESS WITH TOKEN: 24.ec8f6d0d5d29134b33ed67c2e8df9723.2592000.1654744546.282335-25345319  EXPIRES IN SECONDS: 2592000\n",
      "Request time cost 0.964978\n",
      "{\"corpus_no\":\"7095941154408892185\",\"err_msg\":\"success.\",\"err_no\":0,\"result\":[\"北京科技馆。\"],\"sn\":\"516493427811652152546\"}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "\n",
    "import sys\n",
    "import json\n",
    "import base64\n",
    "import time\n",
    "\n",
    "IS_PY3 = sys.version_info.major == 3\n",
    "\n",
    "if IS_PY3:\n",
    "    from urllib.request import urlopen\n",
    "    from urllib.request import Request\n",
    "    from urllib.error import URLError\n",
    "    from urllib.parse import urlencode\n",
    "    timer = time.perf_counter\n",
    "else:\n",
    "    from urllib2 import urlopen\n",
    "    from urllib2 import Request\n",
    "    from urllib2 import URLError\n",
    "    from urllib import urlencode\n",
    "    if sys.platform == \"win32\":\n",
    "        timer = time.clock\n",
    "    else:\n",
    "        # On most other platforms the best timer is time.time()\n",
    "        timer = time.time\n",
    "\n",
    "API_KEY = '2iHhpUZG34qQCuGBsk4QA6vB'\n",
    "SECRET_KEY = 'uEtWumr4cKdH6mi893Lcgv7Tfeq5hPHb'\n",
    "\n",
    "# 需要识别的文件\n",
    "AUDIO_FILE = './audio/16k.pcm'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "# 文件格式\n",
    "FORMAT = AUDIO_FILE[-3:]  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "\n",
    "CUID = '123456PYTHON'\n",
    "# 采样率\n",
    "RATE = 16000  # 固定值\n",
    "\n",
    "# 普通版\n",
    "\n",
    "DEV_PID = 1537  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型\n",
    "ASR_URL = 'http://vop.baidu.com/server_api'\n",
    "SCOPE = 'audio_voice_assistant_get'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有\n",
    "\n",
    "#测试自训练平台需要打开以下信息， 自训练平台模型上线后，您会看见 第二步：“”获取专属模型参数pid:8001，modelid:1234”，按照这个信息获取 dev_pid=8001，lm_id=1234\n",
    "# DEV_PID = 8001 ;   \n",
    "# LM_ID = 1234 ;\n",
    "\n",
    "# 极速版 打开注释的话请填写自己申请的appkey appSecret ，并在网页中开通极速版（开通后可能会收费）\n",
    "\n",
    "# DEV_PID = 80001\n",
    "# ASR_URL = 'http://vop.baidu.com/pro_api'\n",
    "# SCOPE = 'brain_enhanced_asr'  # 有此scope表示有极速版能力，没有请在网页里开通极速版\n",
    "\n",
    "# 忽略scope检查，非常旧的应用可能没有\n",
    "# SCOPE = False\n",
    "\n",
    "class DemoError(Exception):\n",
    "    pass\n",
    "\n",
    "\n",
    "\"\"\"  TOKEN start \"\"\"\n",
    "\n",
    "TOKEN_URL = 'http://aip.baidubce.com/oauth/2.0/token'\n",
    "\n",
    "\n",
    "def fetch_token():\n",
    "    params = {'grant_type': 'client_credentials',\n",
    "              'client_id': API_KEY,\n",
    "              'client_secret': SECRET_KEY}\n",
    "    post_data = urlencode(params)\n",
    "    if (IS_PY3):\n",
    "        post_data = post_data.encode( 'utf-8')\n",
    "    req = Request(TOKEN_URL, post_data)\n",
    "    try:\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "    except URLError as err:\n",
    "        print('token http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "    if (IS_PY3):\n",
    "        result_str =  result_str.decode()\n",
    "\n",
    "    print(result_str)\n",
    "    result = json.loads(result_str)\n",
    "    print(result)\n",
    "    if ('access_token' in result.keys() and 'scope' in result.keys()):\n",
    "        print(SCOPE)\n",
    "        if SCOPE and (not SCOPE in result['scope'].split(' ')):  # SCOPE = False 忽略检查\n",
    "            raise DemoError('scope is not correct')\n",
    "        print('SUCCESS WITH TOKEN: %s  EXPIRES IN SECONDS: %s' % (result['access_token'], result['expires_in']))\n",
    "        return result['access_token']\n",
    "    else:\n",
    "        raise DemoError('MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response')\n",
    "\n",
    "\"\"\"  TOKEN end \"\"\"\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    token = fetch_token()\n",
    "\n",
    "    speech_data = []\n",
    "    with open(AUDIO_FILE, 'rb') as speech_file:\n",
    "        speech_data = speech_file.read()\n",
    "\n",
    "    length = len(speech_data)\n",
    "    if length == 0:\n",
    "        raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)\n",
    "    speech = base64.b64encode(speech_data)\n",
    "    if (IS_PY3):\n",
    "        speech = str(speech, 'utf-8')\n",
    "    params = {'dev_pid': DEV_PID,\n",
    "             #\"lm_id\" : LM_ID,    #测试自训练平台开启此项\n",
    "              'format': FORMAT,\n",
    "              'rate': RATE,\n",
    "              'token': token,\n",
    "              'cuid': CUID,\n",
    "              'channel': 1,\n",
    "              'speech': speech,\n",
    "              'len': length\n",
    "              }\n",
    "    post_data = json.dumps(params, sort_keys=False)\n",
    "    # print post_data\n",
    "    req = Request(ASR_URL, post_data.encode('utf-8'))\n",
    "    req.add_header('Content-Type', 'application/json')\n",
    "    try:\n",
    "        begin = timer()\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "        print (\"Request time cost %f\" % (timer() - begin))\n",
    "    except URLError as err:\n",
    "        print('asr http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "\n",
    "    if (IS_PY3):\n",
    "        result_str = str(result_str, 'utf-8')\n",
    "    print(result_str)\n",
    "    with open(\"result.txt\",\"w\") as of:\n",
    "        of.write(result_str)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3951faae",
   "metadata": {},
   "source": [
    "### 真对话机器人（文本回复）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6b3848ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "qa = {\n",
    "    \"你好呀\":\"你也好呀，看起来心情不错呀！\",\n",
    "    \"你叫什么\":\"我是集美貌与才华于一身的小度小度呀\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f17eee27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'你也好呀，看起来心情不错呀！'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qa.get(\"你好呀\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f18ffdf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'我是集美貌与才华于一身的小度小度呀'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qa.get(\"你叫什么\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b200e9e2",
   "metadata": {},
   "source": [
    "> 1. 调用电脑麦克风，将语音转换音频文件\n",
    "> 2. 音频文件--> 调用百度ASR接口"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6f80938b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pipwin in d:\\anaconda\\lib\\site-packages (0.5.2)\n",
      "Requirement already satisfied: pySmartDL>=1.3.1 in d:\\anaconda\\lib\\site-packages (from pipwin) (1.3.4)\n",
      "Requirement already satisfied: packaging in d:\\anaconda\\lib\\site-packages (from pipwin) (21.0)\n",
      "Requirement already satisfied: js2py in d:\\anaconda\\lib\\site-packages (from pipwin) (0.71)\n",
      "Requirement already satisfied: pyprind in d:\\anaconda\\lib\\site-packages (from pipwin) (2.11.3)\n",
      "Requirement already satisfied: beautifulsoup4>=4.9.0 in d:\\anaconda\\lib\\site-packages (from pipwin) (4.10.0)\n",
      "Requirement already satisfied: six in d:\\anaconda\\lib\\site-packages (from pipwin) (1.16.0)\n",
      "Requirement already satisfied: requests in d:\\anaconda\\lib\\site-packages (from pipwin) (2.26.0)\n",
      "Requirement already satisfied: docopt in d:\\anaconda\\lib\\site-packages (from pipwin) (0.6.2)\n",
      "Requirement already satisfied: soupsieve>1.2 in d:\\anaconda\\lib\\site-packages (from beautifulsoup4>=4.9.0->pipwin) (2.2.1)\n",
      "Requirement already satisfied: tzlocal>=1.2 in d:\\anaconda\\lib\\site-packages (from js2py->pipwin) (4.2)\n",
      "Requirement already satisfied: pyjsparser>=2.5.1 in d:\\anaconda\\lib\\site-packages (from js2py->pipwin) (2.7.1)\n",
      "Requirement already satisfied: tzdata in d:\\anaconda\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (2022.1)\n",
      "Requirement already satisfied: pytz-deprecation-shim in d:\\anaconda\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (0.1.0.post0)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in d:\\anaconda\\lib\\site-packages (from packaging->pipwin) (3.0.4)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in d:\\anaconda\\lib\\site-packages (from requests->pipwin) (2.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in d:\\anaconda\\lib\\site-packages (from requests->pipwin) (2021.10.8)\n",
      "Requirement already satisfied: idna<4,>=2.5 in d:\\anaconda\\lib\\site-packages (from requests->pipwin) (3.2)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in d:\\anaconda\\lib\\site-packages (from requests->pipwin) (1.26.7)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pipwin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "86e41c31",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Package `pyaudio` found in cache\n",
      "Downloading package . . .\n",
      "https://download.lfd.uci.edu/pythonlibs/x6hvwk7i/PyAudio-0.2.11-cp39-cp39-win_amd64.whl\n",
      "PyAudio-0.2.11-cp39-cp39-win_amd64.whl\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"D:\\Anaconda\\lib\\runpy.py\", line 197, in _run_module_as_main\n",
      "    return _run_code(code, main_globals, None,\n",
      "  File \"D:\\Anaconda\\lib\\runpy.py\", line 87, in _run_code\n",
      "    exec(code, run_globals)\n",
      "  File \"D:\\Anaconda\\Scripts\\pipwin.exe\\__main__.py\", line 7, in <module>\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\pipwin\\command.py\", line 103, in main\n",
      "    cache.install(package)\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\pipwin\\pipwin.py\", line 300, in install\n",
      "    wheel_file = self.download(requirement)\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\pipwin\\pipwin.py\", line 294, in download\n",
      "    return self._download(requirement, dest)\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\pipwin\\pipwin.py\", line 290, in _download\n",
      "    obj.start()\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\pySmartDL\\pySmartDL.py\", line 267, in start\n",
      "    urlObj = urllib.request.urlopen(req, timeout=self.timeout, context=self.context)\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 214, in urlopen\n",
      "    return opener.open(url, data, timeout)\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 523, in open\n",
      "    response = meth(req, response)\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 632, in http_response\n",
      "    response = self.parent.error(\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 561, in error\n",
      "    return self._call_chain(*args)\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 494, in _call_chain\n",
      "    result = func(*args)\n",
      "  File \"D:\\Anaconda\\lib\\urllib\\request.py\", line 641, in http_error_default\n",
      "    raise HTTPError(req.full_url, code, msg, hdrs, fp)\n",
      "urllib.error.HTTPError: HTTP Error 404: Not Found\n"
     ]
    }
   ],
   "source": [
    "!pipwin install PyAudio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b2264b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e2630d02",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import speech_recognition\n",
    "r = speech_recognition.Recognizer()\n",
    "with speech_recognition.Microphone() as source:\n",
    "    audio = r.listen(source)\n",
    "# 将数据保存到wav文件中\n",
    "with open(\"1.wav\", \"wb\") as f: \n",
    "    f.write(audio.get_wav_data(convert_rate=16000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fa87eb2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "你也好呀，看起来心情不错呀！\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "\n",
    "import sys\n",
    "import json\n",
    "import base64\n",
    "import time\n",
    "\n",
    "IS_PY3 = sys.version_info.major == 3\n",
    "\n",
    "if IS_PY3:\n",
    "    from urllib.request import urlopen\n",
    "    from urllib.request import Request\n",
    "    from urllib.error import URLError\n",
    "    from urllib.parse import urlencode\n",
    "    timer = time.perf_counter\n",
    "else:\n",
    "    from urllib2 import urlopen\n",
    "    from urllib2 import Request\n",
    "    from urllib2 import URLError\n",
    "    from urllib import urlencode\n",
    "    if sys.platform == \"win32\":\n",
    "        timer = time.clock\n",
    "    else:\n",
    "        # On most other platforms the best timer is time.time()\n",
    "        timer = time.time\n",
    "\n",
    "API_KEY = '2iHhpUZG34qQCuGBsk4QA6vB'\n",
    "SECRET_KEY = 'uEtWumr4cKdH6mi893Lcgv7Tfeq5hPHb'\n",
    "\n",
    "# 需要识别的文件\n",
    "AUDIO_FILE = '1.wav'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "# 文件格式\n",
    "FORMAT = AUDIO_FILE[-3:]  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "\n",
    "CUID = '123456PYTHON'\n",
    "# 采样率\n",
    "RATE = 16000  # 固定值\n",
    "\n",
    "# 普通版\n",
    "\n",
    "DEV_PID = 1537  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型\n",
    "ASR_URL = 'http://vop.baidu.com/server_api'\n",
    "SCOPE = 'audio_voice_assistant_get'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有\n",
    "\n",
    "#测试自训练平台需要打开以下信息， 自训练平台模型上线后，您会看见 第二步：“”获取专属模型参数pid:8001，modelid:1234”，按照这个信息获取 dev_pid=8001，lm_id=1234\n",
    "# DEV_PID = 8001 ;   \n",
    "# LM_ID = 1234 ;\n",
    "\n",
    "# 极速版 打开注释的话请填写自己申请的appkey appSecret ，并在网页中开通极速版（开通后可能会收费）\n",
    "\n",
    "# DEV_PID = 80001\n",
    "# ASR_URL = 'http://vop.baidu.com/pro_api'\n",
    "# SCOPE = 'brain_enhanced_asr'  # 有此scope表示有极速版能力，没有请在网页里开通极速版\n",
    "\n",
    "# 忽略scope检查，非常旧的应用可能没有\n",
    "# SCOPE = False\n",
    "\n",
    "class DemoError(Exception):\n",
    "    pass\n",
    "\n",
    "\n",
    "\"\"\"  TOKEN start \"\"\"\n",
    "\n",
    "TOKEN_URL = 'http://aip.baidubce.com/oauth/2.0/token'\n",
    "\n",
    "\n",
    "def fetch_token():\n",
    "    params = {'grant_type': 'client_credentials',\n",
    "              'client_id': API_KEY,\n",
    "              'client_secret': SECRET_KEY}\n",
    "    post_data = urlencode(params)\n",
    "    if (IS_PY3):\n",
    "        post_data = post_data.encode( 'utf-8')\n",
    "    req = Request(TOKEN_URL, post_data)\n",
    "    try:\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "    except URLError as err:\n",
    "        print('token http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "    if (IS_PY3):\n",
    "        result_str =  result_str.decode()\n",
    "\n",
    "#    print(result_str)\n",
    "    result = json.loads(result_str)\n",
    "#    print(result)\n",
    "    if ('access_token' in result.keys() and 'scope' in result.keys()):\n",
    "#        print(SCOPE)\n",
    "        if SCOPE and (not SCOPE in result['scope'].split(' ')):  # SCOPE = False 忽略检查\n",
    "            raise DemoError('scope is not correct')\n",
    "#        print('SUCCESS WITH TOKEN: %s  EXPIRES IN SECONDS: %s' % (result['access_token'], result['expires_in']))\n",
    "        return result['access_token']\n",
    "    else:\n",
    "        raise DemoError('MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response')\n",
    "\n",
    "\"\"\"  TOKEN end \"\"\"\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    token = fetch_token()\n",
    "\n",
    "    speech_data = []\n",
    "    with open(AUDIO_FILE, 'rb') as speech_file:\n",
    "        speech_data = speech_file.read()\n",
    "\n",
    "    length = len(speech_data)\n",
    "    if length == 0:\n",
    "        raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)\n",
    "    speech = base64.b64encode(speech_data)\n",
    "    if (IS_PY3):\n",
    "        speech = str(speech, 'utf-8')\n",
    "    params = {'dev_pid': DEV_PID,\n",
    "             #\"lm_id\" : LM_ID,    #测试自训练平台开启此项\n",
    "              'format': FORMAT,\n",
    "              'rate': RATE,\n",
    "              'token': token,\n",
    "              'cuid': CUID,\n",
    "              'channel': 1,\n",
    "              'speech': speech,\n",
    "              'len': length\n",
    "              }\n",
    "    post_data = json.dumps(params, sort_keys=False)\n",
    "    # print post_data\n",
    "    req = Request(ASR_URL, post_data.encode('utf-8'))\n",
    "    req.add_header('Content-Type', 'application/json')\n",
    "    try:\n",
    "        begin = timer()\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "#        print (\"Request time cost %f\" % (timer() - begin))\n",
    "    except URLError as err:\n",
    "#        print('asr http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "\n",
    "    if (IS_PY3):\n",
    "        result_str = str(result_str, 'utf-8') # result_str 已经是字符串（字典）\n",
    "#    print(eval(result_str)[\"result\"][0][:-1]) # eval()将str --> dict\n",
    "    print(qa.get(eval(result_str)[\"result\"][0][:-1]))\n",
    "    with open(\"result.txt\",\"w\") as of:\n",
    "        of.write(result_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8666e3f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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